Senior Data Platform Architect for AgentExchange

Salesforce; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Salesforce is building the AgentExchange data platform to unify telemetry, partner analytics, and ML signals. You will lead the data architecture, define contracts, and guide the adoption of an MCP-based agentic data layer across internal and partner-facing agents.

This role requires senior expertise in data engineering, analytics leadership, and governance to deliver a scalable, secure data foundation for Salesforce leadership and customers.

Qualifications

• 10+ years in software / data engineering with enterprise-scale data or ML platform ownership.
• Deep architecture experience in lakehouse/warehouse design, streaming + batch pipelines, dimensional and event modeling.
• Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks; AWS-based platforms.
• LLM systems experience, in production: RAG, embeddings and vector stores, prompt engineering, evaluation.

Responsibilities

• Own end-to-end data architecture for the AgentExchange data platform.
• Define contracts across teams, data governance, and pipeline reliability SLOs.

Skills

Data architecture

ML platform

LLM integration

Data governance

Tools

Snowflake

BigQuery

Redshift

Databricks

Job description

Salesforce is building the AgentExchange data platform to unify telemetry, partner analytics, and ML signals. You will lead the data architecture, define contracts, and guide the adoption of an MCP-based agentic data layer across internal and partner-facing agents.

This role requires senior expertise in data engineering, analytics leadership, and governance to deliver a scalable, secure data foundation for Salesforce leadership and customers.